def execute_sum_on_gpu_via_CU(a, b):
assert a.shape == b.shape
cu = CU(target='gpu')
result = np.zeros_like(a)
d_result = cu.output(result)
cu.enqueue(sum, ntid=result.size, args=(a, b, result))
cu.wait()
cu.close()
return result
def execute_sum_on_gpu_via_CU(a, b):
assert a.shape == b.shape
cu = CU(target='gpu')
result = np.zeros_like(a)
d_result = cu.output(result)
cu.enqueue(sum, ntid=result.size, args=(a, b, result))
cu.wait()
cu.close()
return result
def main():
target = sys.argv[1]
cu = CU(target)
width = 500 * 40
height = 750 * 40
with closing(cu):
image = np.zeros((width, height), dtype=np.uint8)
d_image = cu.output(image)
s = timer()
create_fractal(cu, -2.0, 1.0, -1.0, 1.0, d_image, 20)
cu.wait()
e = timer()
print(e - s)
def main():
target = sys.argv[1]
cu = CU(target)
width = 500 * 40
height = 750 * 40
with closing(cu):
image = np.zeros((width, height), dtype=np.uint8)
d_image = cu.output(image)
s = timer()
create_fractal(cu, -2.0, 1.0, -1.0, 1.0, d_image, 20)
cu.wait()
e = timer()
print(e - s)
def main():
try:
target = sys.argv[1]
except:
target = 'cpu'
cu = CU(target)
width = 500 * 10
height = 750 * 10
with closing(cu):
image = np.zeros((width, height), dtype=np.uint8)
d_image = cu.output(image)
s = timer()
create_fractal(cu, -2.0, 1.0, -1.0, 1.0, d_image, 20)
cu.wait()
e = timer()
print('time: %f' % (e - s, ))
# print(image)
imshow(image)
show()
def main():
try:
target = sys.argv[1]
except:
target = 'cpu'
cu = CU(target)
width = 500 * 10
height = 750 * 10
with closing(cu):
image = np.zeros((width, height), dtype=np.uint8)
d_image = cu.output(image)
s = timer()
create_fractal(cu, -2.0, 1.0, -1.0, 1.0, d_image, 20)
cu.wait()
e = timer()
print('time: %f' % (e - s,))
# print(image)
imshow(image)
show()